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Maintaining Leaderboard Spot at NIST FRVT, Innovatrics Stays Ahead of Major ABIS Providers

10/4/2019

Widely regarded as the most influential global ranking of facial recognition algorithms, the latest NIST FRVT 1:1 report includes Innovatrics in the Leaderboard, confirming our track record in consistently providing the most advanced face recognition technology solutions in the world. The achievement comes on the heels of having been ranked the fastest algorithm among more than 200 submissions for FRVT 1:N Identification.

Based on these latest results, Innovatrics easily ranks ahead of every major ABIS and established facial recognition provider. Implemented in stand-alone security applications or existing biometric identity solutions, our face recognition platforms have been engineered to achieve industry-leading accuracy, speed, storage and memory consumption, and resilience.

FRVT 1:1  Verification, Sept. 2019 – Key Competitors

In FRVT 1:1 Verification, a total of 147 algorithms were submitted by 115 vendors, with the Innovatrics algorithm demonstrating remarkable versatility and accuracy across each of the seven measured categories. The achievement underscores the suitability of the Innovatrics algorithm for deployment in a wide variety of challenging use cases including border control, law enforcement, and camera surveillance.

FRVT 1:N Identification Mode – Gallery Size 12M (Error Rate)

In the identification (1:N) Evaluation, Innovatrics ranked as the fastest algorithm among more than 200 submissions. It only took a mere 13 milliseconds to find a specific face among 12 million subjects without compromising accuracy, placing Innovatrics on the 5th spot in identification accuracy among all vendors. The result also underlines Innovatrics’ unique combination of high accuracy and top speed, minus any performance trade-offs.

Scoring excellent results in both NIST FRVT 1:1 and 1:N confirm Innovatrics’s commitment to continuously develop the most well-rounded solutions in the highly competitive global field of facial recognition.

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